Microsoft Research has become one of the most accomplished labs in artificial intelligence (AI) development. The computer vision algorithms it has pioneered have achieved substantial success.

Before deep learning, creating computer vision algorithms that could process medical images required extensive efforts from software engineers and subject matter experts.

Computer vision algorithms can detect anomalies and predict outcomes, even estimating treatment costs based on jaw images. Computer vision aids in surgery by converting broken bone MRIs into 3D ...

Researchers at Stanford University have created a computer vision algorithm that can analyse an unknown image and describe it using words and phrases.

Computer scientists at the University of California, San Diego, have combined sophisticated computer vision algorithms and a brain-computer interface to find mines in sonar images of the ocean floor.

Computer vision algorithms will analyze this raw data to optimize road safety and generate insights on collision alerts and pedestrians on the road in real-time.

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection ...

Financial界 August 28, 2025, The intelligent transformation of the retail industry is accelerating, especially in the security sector. Recently, Gatekeeper Systems applied for a patent titled "Shopping ...

Computer vision algorithms usually rely on convolutional neural networks, or CNNs. CNNs typically use convolutional, pooling, ReLU, fully connected, and loss layers to simulate a visual cortex.